predict.scair: Predict method for 'scair' fits

In scar: Shape-Constrained Additive Regression: a Maximum Likelihood Approach

Predict method for scair fits

Description

This function obtains predictions from a fitted scair object.

Usage

## S3 method for class 'scair'
predict(object, newdata, type = c("link", "response"), rule=1, ...)

Arguments

object	A fitted scair object produced by scair.
newdata	An optional numeric matrix of d columns, with each row specifying a location at which prediction is required. This argument can be missing, in which case predictions are made at the same values of the covariates used to compute the object.
type	Type of predictions, with choices "link" (the default), or "response". The default produces predictions on the scale of the index predictors. If "response" is selected, the predictions are on the scale of the response (i.e. mean of the exponential family), and are monotone transformations of the index predictors using the inverse link function.
rule	An integer describing how to handle the new data outside the range of the observed indices (computed via linear combination of observed covariates). If rule=1, then we use linear interpolation to get the value of each fitted component function outside the range of observed covariates. Otherwise if rule=2, then the value at the closest data extreme is used. Note that if there is convex/concave component, the choice of the first rule can lead to somewhat unsatifactary performance on/outside the "boundary" of the data (when comparing to the second rule).
...	Further arguments passed to or from other methods.

Value

A numeric vector of predictions.

Author(s)

Yining Chen and Richard Samworth

See Also

scair, plot.scair, predict.scar

Examples

## See examples for the function scair

scar documentation built on May 28, 2022, 1:22 a.m.